Papers

2

Total Citations

8

H-Index

2

About

Lia Assumpcao is a pioneering researcher in robotic thoracic surgery and image-guided interventional techniques, with a focus on advancing surgical education and translational research. Her work on the learning curve for robotic thoracic surgery in emerging countries (2023, 4 citations) provides critical insights into skill acquisition and training protocols, helping to bridge gaps in surgical expertise where resources are limited. This study underscores her commitment to improving surgical outcomes through evidence-based practice. Additionally, her development of hepatic pseudotumors in a large animal model (2011, 4 citations) has been instrumental in refining image-guided interventions and surgical research, offering a reproducible platform for testing new technologies. Though her citation counts are modest, these contributions are highly specialized and directly impact clinical training and experimental design. Assumpcao’s research exemplifies the intersection of innovation and practicality, making her a key figure in advancing surgical techniques in resource-constrained settings. Her work continues to inspire students and researchers exploring the frontiers of robotic surgery and interventional radiology.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Characteristics of the learning curve in robotic thoracic surgery in an emerging country
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Universidade do Estado do Rio de Janeiro, Johns Hopkins University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago